Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)-Reference-Cited by-同舟云学术

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Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)

Published:2024-07 Issue: Volume:250 Page:105153
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Gómez-Sánchez Adrián^ORCID,Vitale Raffaele,Ruckebusch Cyril,de Juan Anna

Publisher

Elsevier BV

Reference25 articles.

1. Principal component analysis: a review and recent developments;Jolliffe;Phil. Trans. Math. Phys. Eng. Sci.,2016

2. Principal component analysis;Wold;Chemometr. Intell. Lab. Syst.,1987

3. Data understanding with PCA: structural and variance information plots;Camacho;Chemometr. Intell. Lab. Syst.,2010

4. Techniques and Applications of Hyperspectral Image Analysis,2007

5. Hyperspectral imaging and chemometrics: a perfect combination for the analysis of food structure, composition and quality;Amigo;Data Handling Sci. Technol.,2013

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